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dataset as a reference frame for studying the impact of the selection function on past and future spectroscopic surveys. The aim of this PhD project is to make full use of an exceptional new data set to
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Degree Dr rer nat awarded by FU Berlin, HU Berlin, and TU Berlin; PhD awarded by the Charité, FU Berlin, and HU Berlin. Course location Berlin In cooperation with Charité-Universitätsmedizin Berlin
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physics groups including string theorists. The overview of KMI and members can be found at https://www.kmi.nagoya-u.ac.jp/ ; Requirements: A PhD (or close to completion) in physics or related disciplines
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with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement learning, physics-informed neural
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of Research Experience1 - 4 Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria PhD in Physics / Chemical physics. First experience in the field will be
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. The PhD student will be also affiliated with the research cluster CRCAO https://www.crcao.fr/CountryFranceCityParisGeofield Contact State/Province France City Paris Website https://www.ephe.psl.eu/ Street 4
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16 Jan 2026 Job Information Organisation/Company NANYANG TECHNOLOGICAL UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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23 Dec 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Arab
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ML algorithms (regression, classification, clustering), and ensemble methods (Random Forest, XGBoost) * Expert knowledge of deep learning for sequential data (LSTM, Bi-GRU, Attention mechanisms
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or do you require additional information? Please contact: Iris Groen, Associate Professor, i.i.a.groen@uva.nl Where to apply Website https://www.academictransfer.com/en/jobs/357800/phd-position-in-neuroai